Lloyd A. Treinish

59 papers receiving 924 citations

Peers

Lloyd A. Treinish
Comparison fields: 5 of 106
  • Computer Vision and Pattern Recognition 484
  • Computer Graphics and Computer-Aided Design 191
  • Artificial Intelligence 143
  • Environmental Engineering 136
  • Atmospheric Science 110
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Countries citing papers authored by Lloyd A. Treinish

Since Specialization
Citations

This map shows the geographic impact of Lloyd A. Treinish's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lloyd A. Treinish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lloyd A. Treinish more than expected).

Fields of papers citing papers by Lloyd A. Treinish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lloyd A. Treinish. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lloyd A. Treinish. The network helps show where Lloyd A. Treinish may publish in the future.

Co-authorship network of co-authors of Lloyd A. Treinish

This figure shows the co-authorship network connecting the top 25 collaborators of Lloyd A. Treinish. A scholar is included among the top collaborators of Lloyd A. Treinish based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lloyd A. Treinish. Lloyd A. Treinish is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 22
2 2
3
The Application of an Internet of Things Cyber-Infrastructure for the Study of Ecology of Lake George in the Jefferson Project
1
4 3
5
Enabling a High-Resolution, Coupled Hydro-Meteorological System for Operational Forecasting of Severe Weather and Flooding Events in Rio de Janeiro
1
6 2
7 32
8
Visualization Techniques for Applications of High-Resolution Numerical Weather Models
1
9 4
10
Visual Data Fusion for Applications of High-Resolution Numerical Weather
1
11 9
12 14
13 8
14 3
15
Inside multidimensional data
3
16 1
17 33
18 7
19 10
20 19

About Lloyd A. Treinish

Lloyd A. Treinish is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Atmospheric Science, having authored 60 papers that have together received 1.0k indexed citations. Recurring topics across this work include Data Visualization and Analytics (17 papers), Meteorological Phenomena and Simulations (12 papers) and Computer Graphics and Visualization Techniques (9 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (191 citations), Computer Vision and Pattern Recognition (484 citations) and Signal Processing (103 citations). Lloyd A. Treinish has collaborated with scholars based in United States, India and Norway. Frequent co-authors include Bernice E. Rogowitz, Steve Bryson, Lawrence D. Bergman, Mukul Tewari, Francisco Salamanca, Campbell Watson, Hiroyuki Kusaka, Jiachuan Yang, J. R. M. Hosking and Alex Mahalov. Their work appears in journals such as Journal of Geophysical Research Atmospheres, International Journal of Climatology and Environmental Research Letters.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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